{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:QFDOAA2YLPO5QE6WZSPIH4WUND","short_pith_number":"pith:QFDOAA2Y","schema_version":"1.0","canonical_sha256":"8146e003585bddd813d6cc9e83f2d468c1fa2012e30f77ae40b4ee2bdf67a3f2","source":{"kind":"arxiv","id":"2607.06128","version":1},"attestation_state":"computed","paper":{"title":"Executable verification through formalized expert reasoning in astronomical spectroscopy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.CO","authors_text":"Christophe Yeche, Haosong Wang, Huanyuan Shan, Jean-Paul Kneib, Jiajun Zhang, Ji Yao, Qian Zheng, Ting Tan","submitted_at":"2026-07-07T10:37:34Z","abstract_excerpt":"Artificial intelligence has reshaped scientific prediction, but scientific verification remains a human bottleneck. Automated systems can map observations to labels, parameters or hypotheses, yet scientific conclusions require evidence, must satisfy physical consistency, and need explicit testing of alternatives before a decision is made. Here we introduce FORMA (Formalized Observational Reasoning with Auditable Decisions), an executable verification protocol that reconstructs expert reasoning into a workflow: it extracts evidence, generates hypotheses under physical constraints, tests alterna"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.06128","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2026-07-07T10:37:34Z","cross_cats_sorted":["astro-ph.IM"],"title_canon_sha256":"a9f2b6ea128dd32002b2670b2d252996216d1ab48d12126c3f6ea552eb66efe9","abstract_canon_sha256":"f2ccedccb96b9672afac39b74cf1f25127490bb4da109abcd7e3c97c318c395e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-08T01:18:57.828941Z","signature_b64":"6lULoPjGVhg+36+3e/L+cIt6fHOWUFXUqrE5qosYSmb/P5NujuaNg+MSAw5yawwCLB+FMwWOfr0r2FXCG56VCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8146e003585bddd813d6cc9e83f2d468c1fa2012e30f77ae40b4ee2bdf67a3f2","last_reissued_at":"2026-07-08T01:18:57.828475Z","signature_status":"signed_v1","first_computed_at":"2026-07-08T01:18:57.828475Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Executable verification through formalized expert reasoning in astronomical spectroscopy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.CO","authors_text":"Christophe Yeche, Haosong Wang, Huanyuan Shan, Jean-Paul Kneib, Jiajun Zhang, Ji Yao, Qian Zheng, Ting Tan","submitted_at":"2026-07-07T10:37:34Z","abstract_excerpt":"Artificial intelligence has reshaped scientific prediction, but scientific verification remains a human bottleneck. Automated systems can map observations to labels, parameters or hypotheses, yet scientific conclusions require evidence, must satisfy physical consistency, and need explicit testing of alternatives before a decision is made. Here we introduce FORMA (Formalized Observational Reasoning with Auditable Decisions), an executable verification protocol that reconstructs expert reasoning into a workflow: it extracts evidence, generates hypotheses under physical constraints, tests alterna"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.06128","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.06128/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.06128","created_at":"2026-07-08T01:18:57.828544+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.06128v1","created_at":"2026-07-08T01:18:57.828544+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.06128","created_at":"2026-07-08T01:18:57.828544+00:00"},{"alias_kind":"pith_short_12","alias_value":"QFDOAA2YLPO5","created_at":"2026-07-08T01:18:57.828544+00:00"},{"alias_kind":"pith_short_16","alias_value":"QFDOAA2YLPO5QE6W","created_at":"2026-07-08T01:18:57.828544+00:00"},{"alias_kind":"pith_short_8","alias_value":"QFDOAA2Y","created_at":"2026-07-08T01:18:57.828544+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/QFDOAA2YLPO5QE6WZSPIH4WUND","json":"https://pith.science/pith/QFDOAA2YLPO5QE6WZSPIH4WUND.json","graph_json":"https://pith.science/api/pith-number/QFDOAA2YLPO5QE6WZSPIH4WUND/graph.json","events_json":"https://pith.science/api/pith-number/QFDOAA2YLPO5QE6WZSPIH4WUND/events.json","paper":"https://pith.science/paper/QFDOAA2Y"},"agent_actions":{"view_html":"https://pith.science/pith/QFDOAA2YLPO5QE6WZSPIH4WUND","download_json":"https://pith.science/pith/QFDOAA2YLPO5QE6WZSPIH4WUND.json","view_paper":"https://pith.science/paper/QFDOAA2Y","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.06128&json=true","fetch_graph":"https://pith.science/api/pith-number/QFDOAA2YLPO5QE6WZSPIH4WUND/graph.json","fetch_events":"https://pith.science/api/pith-number/QFDOAA2YLPO5QE6WZSPIH4WUND/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QFDOAA2YLPO5QE6WZSPIH4WUND/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QFDOAA2YLPO5QE6WZSPIH4WUND/action/storage_attestation","attest_author":"https://pith.science/pith/QFDOAA2YLPO5QE6WZSPIH4WUND/action/author_attestation","sign_citation":"https://pith.science/pith/QFDOAA2YLPO5QE6WZSPIH4WUND/action/citation_signature","submit_replication":"https://pith.science/pith/QFDOAA2YLPO5QE6WZSPIH4WUND/action/replication_record"}},"created_at":"2026-07-08T01:18:57.828544+00:00","updated_at":"2026-07-08T01:18:57.828544+00:00"}